Human Sensitivity to Light Zones in Virtual Scenes

Organized criminal networks operating in the fi sheries sector engage in illicit activities ranging from criminal fi shing to tax crimes, money laundering, cor- ruption,

The four columns (left to right) show (a) the scene geometry and known light source positions, (b) the input illumination for our algorithm, (c) the calculated light source

In shadow mapping the shadow computation is performed in two passes: first, a depth image of the current scene (the shadow map) as seen from the light source (in light space)

Interior light probes are acquired from a real scene, then used to shoot light onto the virtual scene geometry to accelerate image synthesis by assuming the light sources shot act

Figure 5: Left: ToF Intensity Image of synthetic Corner scene (depth profiles along the red lines are shown in Fig- ures 8 and 9, Right: Intensity image of RealCorner error in

In the wave-field approach [Loh78, BÖ10, OYO08], 3D scenes are sliced into depth layers parallel to the hologram and light scattered by the scene is propagated from one layer to

Our findings show that human observers are less sensitive to light properties varia- tion in depth of the scene than in the picture plane.. This has implications for lighting

3D REPRESENTATION of the global scene (top) using the EM image, and local scene (bottom) using a shadow mask (blue) and 3D geometry of the main object (red).. Computation of